Which of the following statements about bias in AI-based systems is MOST correct?

The correct answer is B. Inappropriate bias is caused by data used for training not being representative of the real world. Inappropriate bias in AI systems is typically caused by the data used for training not being representative of the real world. This can lead to the model making biased or incorrect predictions when applied to real-world scenarios. While algorithmic factors can also contribute…

Ethics and Bias in AI Testing

Question

Options

AInappropriate bias is caused by overweighting of particular classes in algorithms
BInappropriate bias is caused by data used for training not being representative of the real world
CInappropriate bias only affects ML systems that process data about people
DInappropriate bias can be caused by aspects of the algorithm or the data

How the community answered

(22 responses)

A
5% (1)
B
77% (17)
C
14% (3)
D
5% (1)

Explanation

Inappropriate bias in AI systems is typically caused by the data used for training not being representative of the real world. This can lead to the model making biased or incorrect predictions when applied to real-world scenarios. While algorithmic factors can also contribute to bias, the primary issue arises from biased or unrepresentative training data.

Topics

#algorithmic bias#training data#representativeness#bias causes

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